TÜRKÇE
ENGLISH
Information
| Code | ELK123 |
| Name | Effective Use of Artificial Intelligence Tools |
| Term | 2024-2025 Academic Year |
| Semester | 1. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Ön Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Öğr. Gör.Dr. ALİ KEMAL UĞUR |
| Course Instructor |
Öğr. Gör.Dr. ALİ KEMAL UĞUR
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of the course is to provide students with an understanding of artificial intelligence technologies, how to use these technologies effectively in various applications, and awareness of ethical and security issues that may be encountered in this process.
Course Content
Artificial Intelligence Introduction and Basic Concepts, Prompt Engineering, Prompt Patterns, Artificial Intelligence Tools and Platforms, Data Science and Data Analysis, Ethics and Security.
Course Precondition
None
Resources
Artificial Intelligence Lecture Notes, Ali Kemal UĞUR.
Notes
ChatGPT, The Magic of Digital Language, Şahap ALTINBAŞ.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts, history and development process of artificial intelligence. |
| LO02 | Explains the differences between narrow AI, general AI, and super AI. |
| LO03 | It creates effective and accurate prompts for artificial intelligence models. |
| LO04 | Performs text analysis using natural language processing techniques and tools. |
| LO05 | Effectively implements data collection, cleaning and preparation processes. |
| LO06 | Realizes projects by installing and using popular artificial intelligence tools and platforms. |
| LO07 | Identifies ethical and security issues that may be encountered in artificial intelligence applications. |
| LO08 | Makes conscious and responsible decisions on ethical and security issues. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have basic theoretical knowledge about mathematics, science and electric field. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | They acquire knowledge about occupational safety, worker health, workplace accidents, environmental protection, and quality processes. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Recognizes passive and active circuit elements. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explains the operation of basic analog and digital electronic circuits. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Recognizes low and high voltage electrical switchgears | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Recognizes the basic concepts and elements of control systems. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Explain the basic concepts of generation, transmission and distribution of electrical energy. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | They actively follow and effectively utilize current developments and applications in their profession. | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | The person effectively utilizes information technologies (software, programming, animation, etc.) related to their profession. | 5 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | They have the ability to independently evaluate professional problems and issues with an analytical and critical approach, and to offer solutions. | 4 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Draws computer aided electrical installation project. | |
| PLO12 | Beceriler - Bilişsel, Uygulamalı | Performs the installation and maintenance of electrical machines. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Performs fault detection and repair in energy panels. | |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Makes basic automation system design and applications with Programmable Control devices. | |
| PLO15 | Beceriler - Bilişsel, Uygulamalı | Uses electrical measuring devices effectively. | |
| PLO16 | Beceriler - Bilişsel, Uygulamalı | Analyzes electrical circuits. | |
| PLO17 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | They can effectively present their thoughts through written and verbal communication, expressing them in a clear and understandable manner at the level of knowledge and skills. | 3 |
| PLO18 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | They take responsibility as a team member to solve unforeseen complex problems encountered in practical applications related to their field. | 3 |
| PLO19 | Yetkinlikler - Öğrenme Yetkinliği | They have awareness in career management and lifelong learning. | 5 |
| PLO20 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | They uphold societal, scientific, cultural, and ethical values in the collection, implementation, and dissemination of data related to their field. | 4 |
| PLO21 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | They follow the knowledge in their field using a foreign language and communicate with colleagues. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction and Basic Concepts | Examining the course information package | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Types of Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Machine Learning | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Prompt Engineering Techniques 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 5 | Prompt Engineering Techniques 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 6 | Data Collection and Preparation | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 7 | Data Cleansing Techniques | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Artificial Intelligence Tools 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 10 | Artificial Intelligence Tools 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 11 | Artificial Intelligence Tools 3 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Gösterip Yaptırma |
| 12 | Project Creation and Planning with Artificial Intelligence 1 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Beyin Fırtınası |
| 13 | Project Creation and Planning with Artificial Intelligence 2 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Proje Temelli Öğrenme |
| 14 | Project Creation and Planning with Artificial Intelligence 3 | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Grup Çalışması, Proje Temelli Öğrenme |
| 15 | Ethics and Security in Artificial Intelligence | Review of previous topics and review of reference books | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||